Contrasts:

condition (subj, obj) subject object subj x obj
match, match 1 1 1
match, mis 1 -1 -1
mis, match -1 1 -1
mis, mis -1 -1 1

Total fixation duration

Total fixations, all regions.

Full models.

region rowname Estimate Est.Error Q2.5 Q97.5
region_5 intercept 6.44934 0.05705 6.34014 6.56466
region_5 subj -0.04298 0.01158 -0.06550 -0.02001
region_5 obj -0.00976 0.01155 -0.03209 0.01331
region_5 subj x obj -0.00721 0.01233 -0.03127 0.01718
region_6 intercept 5.95885 0.04225 5.87496 6.04160
region_6 subj -0.07073 0.01635 -0.10204 -0.03860
region_6 obj -0.02045 0.01708 -0.05388 0.01391
region_6 subj x obj 0.00473 0.01355 -0.02191 0.03130
region_7 intercept 6.55596 0.05803 6.44341 6.67251
region_7 subj -0.05381 0.01331 -0.07997 -0.02714
region_7 obj 0.00534 0.01231 -0.01884 0.02960
region_7 subj x obj 0.01222 0.01267 -0.01319 0.03762
region_8 intercept 6.00953 0.08834 5.83591 6.18285
region_8 subj -0.02997 0.01680 -0.06247 0.00375
region_8 obj -0.01524 0.01640 -0.04846 0.01654
region_8 subj x obj 0.00306 0.01710 -0.03042 0.03660 
## $totfixdur_r5

## 
## $totfixdur_r6

## 
## $totfixdur_r7

## 
## $totfixdur_r8

## $totfixdur_r5

## 
## $totfixdur_r6

## 
## $totfixdur_r7

## 
## $totfixdur_r8

Re-reading duration

Data was excluded when the subj did not re-read the region.

Full models.

region rowname Estimate Est.Error Q2.5 Q97.5
region_5 intercept 5.97536 0.04969 5.87737 6.07207
region_5 subj -0.04104 0.02216 -0.08394 0.00259
region_5 obj -0.01985 0.02250 -0.06420 0.02465
region_5 subj x obj -0.01055 0.02219 -0.05469 0.03330
region_6 intercept 5.75761 0.03718 5.68334 5.83004
region_6 subj -0.07088 0.02240 -0.11483 -0.02602
region_6 obj -0.02409 0.02031 -0.06412 0.01614
region_6 subj x obj -0.00086 0.01926 -0.03936 0.03727
region_7 intercept 6.10130 0.05397 5.99222 6.20482
region_7 subj -0.05262 0.02320 -0.09753 -0.00697
region_7 obj 0.01636 0.02268 -0.02858 0.06018
region_7 subj x obj 0.00440 0.02124 -0.03719 0.04522
region_8 intercept 5.75459 0.07185 5.60921 5.89186
region_8 subj -0.01316 0.03176 -0.07546 0.04938
region_8 obj -0.01627 0.03284 -0.08309 0.04694
region_8 subj x obj -0.01561 0.03264 -0.07846 0.04878 
## $rrdur_r5

## 
## $rrdur_r6

## 
## $rrdur_r7

## 
## $rrdur_r8

## $rrdur_r5

## 
## $rrdur_r6

## 
## $rrdur_r7

## 
## $rrdur_r8

First pass regression path

rpdur

region rowname Estimate Est.Error Q2.5 Q97.5
region_5 intercept 6.10759 0.05272 6.00483 6.21141
region_5 subj 0.00823 0.01291 -0.01694 0.03362
region_5 obj -0.01157 0.01102 -0.03293 0.00987
region_5 subj x obj -0.00169 0.01133 -0.02386 0.02044
region_6 intercept 5.67274 0.03287 5.60781 5.73810
region_6 subj -0.02866 0.01500 -0.05791 0.00090
region_6 obj -0.01673 0.01830 -0.05320 0.01909
region_6 subj x obj 0.00024 0.01525 -0.03007 0.03034
region_7 intercept 6.36656 0.08197 6.20467 6.52757
region_7 subj -0.05737 0.01806 -0.09291 -0.02136
region_7 obj -0.00954 0.01879 -0.04740 0.02778
region_7 subj x obj 0.01558 0.01742 -0.01874 0.04975
region_8 intercept 7.27414 0.07357 7.12908 7.41779
region_8 subj -0.07262 0.02403 -0.12026 -0.02622
region_8 obj 0.00936 0.02471 -0.03943 0.05771
region_8 subj x obj 0.00437 0.02377 -0.04321 0.05065 
## $rpdur_r5

## 
## $rpdur_r6

## 
## $rpdur_r7

## 
## $rpdur_r8

## $rpdur_r5

## 
## $rpdur_r6

## 
## $rpdur_r7

## 
## $rpdur_r8

First pass

First pass first gaze, gdur.

region rowname Estimate Est.Error Q2.5 Q97.5
region_5 intercept 6.01152 0.05224 5.91052 6.11474
region_5 subj -0.01015 0.00957 -0.02884 0.00886
region_5 obj -0.00139 0.01000 -0.02103 0.01827
region_5 subj x obj -0.01200 0.01021 -0.03216 0.00832
region_6 intercept 5.47890 0.02634 5.42574 5.52903
region_6 subj -0.02011 0.01224 -0.04408 0.00407
region_6 obj 0.01161 0.01090 -0.00998 0.03299
region_6 subj x obj -0.00354 0.01123 -0.02546 0.01855
region_7 intercept 5.92943 0.05325 5.82338 6.03200
region_7 subj -0.00881 0.01266 -0.03348 0.01622
region_7 obj 0.01558 0.01429 -0.01276 0.04294
region_7 subj x obj 0.01207 0.01249 -0.01223 0.03648
region_8 intercept 5.69298 0.07434 5.54392 5.83662
region_8 subj -0.01917 0.01817 -0.05531 0.01647
region_8 obj -0.01505 0.01464 -0.04378 0.01362
region_8 subj x obj 0.00122 0.01691 -0.03139 0.03582 
## $gdur_r5

## 
## $gdur_r6

## 
## $gdur_r7

## 
## $gdur_r8

## $gdur_r5

## 
## $gdur_r6

## 
## $gdur_r7

## 
## $gdur_r8

Right bounded

Aka first pass total gaze, tgdur.

region rowname Estimate Est.Error Q2.5 Q97.5
region_5 intercept 6.06298 0.05299 5.96089 6.16691
region_5 subj 0.00059 0.00927 -0.01771 0.01880
region_5 obj -0.00593 0.00920 -0.02395 0.01198
region_5 subj x obj -0.00593 0.00918 -0.02366 0.01221
region_6 intercept 5.56232 0.03046 5.50159 5.62283
region_6 subj -0.02819 0.01163 -0.05078 -0.00513
region_6 obj -0.00240 0.01242 -0.02657 0.02250
region_6 subj x obj -0.00009 0.01112 -0.02215 0.02191
region_7 intercept 6.14903 0.06474 6.02119 6.27667
region_7 subj -0.03745 0.01243 -0.06172 -0.01310
region_7 obj -0.00716 0.01304 -0.03268 0.01844
region_7 subj x obj 0.02284 0.01195 -0.00088 0.04659
region_8 intercept 6.00524 0.09184 5.82512 6.18501
region_8 subj -0.02984 0.01677 -0.06255 0.00328
region_8 obj -0.01537 0.01669 -0.04874 0.01704
region_8 subj x obj 0.00287 0.01706 -0.03094 0.03677 
## $tgdur_r5

## 
## $tgdur_r6

## 
## $tgdur_r7

## 
## $tgdur_r8

## $tgdur_r5

## 
## $tgdur_r6

## 
## $tgdur_r7

## 
## $tgdur_r8

Regressions

Probability of regression, abs(gbck - 2). Bernoulli likelihood with logistic link, results on the logistic scale. Full models.

region rowname Estimate Est.Error Q2.5 Q97.5
region_5 intercept -3.34887 0.18945 -3.75415 -3.00903
region_5 subj 0.29250 0.14901 0.01803 0.60413
region_5 obj -0.13200 0.13001 -0.38945 0.12671
region_5 subj x obj 0.09734 0.13422 -0.16735 0.36205
region_6 intercept -2.07938 0.15046 -2.39341 -1.79660
region_6 subj -0.01420 0.09186 -0.19644 0.16974
region_6 obj -0.25672 0.11061 -0.48757 -0.05125
region_6 subj x obj -0.01717 0.08989 -0.19588 0.16055
region_7 intercept -1.09536 0.21192 -1.52161 -0.67899
region_7 subj -0.10996 0.06883 -0.24637 0.02489
region_7 obj -0.02647 0.06202 -0.14769 0.09364
region_7 subj x obj 0.03145 0.06622 -0.09674 0.16584
region_8 intercept 2.97162 0.26614 2.47783 3.52570
region_8 subj -0.16133 0.13888 -0.45238 0.10768
region_8 obj 0.21461 0.13079 -0.02655 0.49211
region_8 subj x obj -0.04327 0.12676 -0.29763 0.20561 
## $gbck_r5

## 
## $gbck_r6

## 
## $gbck_r7

## 
## $gbck_r8

## $gbck_r5

## 
## $gbck_r6

## 
## $gbck_r7

## 
## $gbck_r8

Re-readings

rr. probability of re-reading
Bernoulli likelihood with logistic link, results on the logistic scale.

region rowname Estimate Est.Error Q2.5 Q97.5
region_5 intercept 0.35723 0.13561 0.09282 0.62417
region_5 subj -0.12759 0.05493 -0.23372 -0.01776
region_5 obj -0.01871 0.05439 -0.12679 0.08835
region_5 subj x obj 0.03017 0.05300 -0.07309 0.13534
region_6 intercept 0.28479 0.14538 0.00060 0.56505
region_6 subj -0.15911 0.05383 -0.26267 -0.05483
region_6 obj -0.04149 0.05295 -0.14415 0.06339
region_6 subj x obj 0.02413 0.05331 -0.07956 0.13055
region_7 intercept 0.73453 0.16860 0.39801 1.06783
region_7 subj -0.14533 0.05517 -0.25351 -0.03746
region_7 obj -0.01513 0.05725 -0.12630 0.09694
region_7 subj x obj 0.03942 0.06094 -0.07774 0.15766
region_8 intercept -1.03022 0.19687 -1.42428 -0.64986
region_8 subj -0.11890 0.06070 -0.23881 0.00313
region_8 obj 0.00333 0.05853 -0.11146 0.11944
region_8 subj x obj 0.05558 0.07472 -0.09403 0.20067 
## $rr_r5

## 
## $rr_r6

## 
## $rr_r7

## 
## $rr_r8

## 
## $rrdur_r5

## 
## $rrdur_r6

## 
## $rrdur_r7

## 
## $rrdur_r8

## $rr_r5

## 
## $rr_r6

## 
## $rr_r7

## 
## $rr_r8

## 
## $rrdur_r5

## 
## $rrdur_r6

## 
## $rrdur_r7

## 
## $rrdur_r8

Bayes factor and combined models

This section presents the result of the models fit to the data combined from the two experiments. The Bayes factor is always 10 i.e. the ratio of alternative to the null.

Pooled data

Models fit to the data combined from the both experiments (without subsetting on subject condition).

measure region rowname Estimate Est.Error Q2.5 Q97.5
tgdur 6 intercept 5.57125 0.02487 5.52145 5.62010
tgdur 6 subj -0.03332 0.00962 -0.05243 -0.01440
tgdur 6 obj -0.00902 0.01036 -0.02902 0.01145
tgdur 6 subj x obj -0.00282 0.00992 -0.02256 0.01645
tgdur 7 intercept 6.15194 0.04548 6.06000 6.24067
tgdur 7 subj -0.03901 0.01057 -0.06006 -0.01867
tgdur 7 obj -0.00765 0.01070 -0.02865 0.01301
tgdur 7 subj x obj 0.01835 0.01030 -0.00142 0.03856
totfixdur 6 intercept 5.96580 0.03464 5.89869 6.03417
totfixdur 6 subj -0.08439 0.01294 -0.10970 -0.05912
totfixdur 6 obj -0.01892 0.01326 -0.04496 0.00756
totfixdur 6 subj x obj -0.00192 0.01092 -0.02353 0.01958
totfixdur 7 intercept 6.55931 0.04471 6.47366 6.64734
totfixdur 7 subj -0.05882 0.01072 -0.07938 -0.03716
totfixdur 7 obj 0.01273 0.01015 -0.00749 0.03255
totfixdur 7 subj x obj 0.00770 0.01041 -0.01276 0.02758 
## $comb_tgdur_r6

## 
## $comb_tgdur_r7

## 
## $comb_totfixdur_r6

## 
## $comb_totfixdur_r7

## $comb_tgdur_r6

## 
## $comb_tgdur_r7

## 
## $comb_totfixdur_r6

## 
## $comb_totfixdur_r7

Subject mis-match

mu = 0, sigma = 1

This is a bit silly, sigma this wide gives extreme support for the null. Summaries of the posterior distribution:

measure region rowname Estimate Est.Error Q2.5 Q97.5
tgdur 6 intercept 5.61007 0.02686 5.55769 5.66143
tgdur 6 obj -0.00595 0.01455 -0.03437 0.02241
tgdur 7 intercept 6.19292 0.04761 6.10006 6.28858
tgdur 7 obj -0.02480 0.01591 -0.05611 0.00686
totfixdur 6 intercept 6.05483 0.03598 5.98316 6.12411
totfixdur 6 obj -0.01723 0.01704 -0.05110 0.01527
totfixdur 7 intercept 6.61784 0.04543 6.52790 6.70711
totfixdur 7 obj 0.00472 0.01419 -0.02311 0.03283

Bayes factor (mean of 5 runs):

dv_name region mean bf_10 sd
tgdur 6 0.01571 0.00075
tgdur 7 0.05457 0.00124
totfixdur 6 0.02844 0.00145
totfixdur 7 0.01512 0.00078

mu = 0, sigma = 0.1

measure region rowname Estimate Est.Error Q2.5 Q97.5
tgdur 6 intercept 5.60973 0.02672 5.55644 5.66147
tgdur 6 obj -0.00593 0.01422 -0.03419 0.02201
tgdur 7 intercept 6.19348 0.04846 6.09675 6.28799
tgdur 7 obj -0.02407 0.01595 -0.05533 0.00770
totfixdur 6 intercept 6.05529 0.03621 5.98410 6.12622
totfixdur 6 obj -0.01739 0.01695 -0.05055 0.01605
totfixdur 7 intercept 6.62124 0.04658 6.52838 6.71193
totfixdur 7 obj 0.00491 0.01428 -0.02307 0.03356

Bayes factor (mean of 5 runs):

dv_name region mean bf_10 sd
tgdur 6 0.15417 0.00349
tgdur 7 0.55246 0.01886
totfixdur 6 0.27839 0.00702
totfixdur 7 0.14587 0.01077

mu = 0, sigma = 0.03

measure region rowname Estimate Est.Error Q2.5 Q97.5
tgdur 6 intercept 5.60939 0.02659 5.55597 5.66153
tgdur 6 obj -0.00435 0.01294 -0.02992 0.02121
tgdur 7 intercept 6.19689 0.04811 6.10137 6.29110
tgdur 7 obj -0.01919 0.01427 -0.04700 0.00904
totfixdur 6 intercept 6.05543 0.03699 5.98228 6.12682
totfixdur 6 obj -0.01332 0.01501 -0.04314 0.01628
totfixdur 7 intercept 6.61716 0.04617 6.52608 6.70706
totfixdur 7 obj 0.00386 0.01297 -0.02174 0.02911

Bayes factor (mean of 5 runs):

dv_name region mean bf_10 sd
tgdur 6 0.45000 0.01706
tgdur 7 1.26643 0.04443
totfixdur 6 0.75761 0.02249
totfixdur 7 0.44610 0.01887

mu = -0.03, sigma = 0.009

These are the priors determined taken from the metaanalysis (Jager et al 2017). The mean effect in the metaanalysis is -22 ms. This is assuming (+1/-1) contrast coding:

  1. The key to the cabinet are in the kitchen. (-1, no interference)
  2. The key to the cabinets are in the kitchen. (+1, “cabinets” interferes)

This matches what we have in these conditions:

  1. MM_MM (MisMatch_MisMatch) De professor heeft geen zoon. De laatste paar jaar werkte zij helaas op alle feestdagen. (-1, no interference)
  2. MM_M (MisMatch_Match) De professor heeft geen dochter. De laatste paar jaar werkte zij helaas op alle feestdagen. (+1, “dochter” interferes)
measure region rowname Estimate Est.Error Q2.5 Q97.5
tgdur 6 intercept 5.61519 0.02727 5.56157 5.66977
tgdur 6 obj -0.02326 0.00766 -0.03823 -0.00832
tgdur 7 intercept 6.19237 0.04685 6.09888 6.28671
tgdur 7 obj -0.02871 0.00779 -0.04403 -0.01356
totfixdur 6 intercept 6.05836 0.03555 5.98803 6.12814
totfixdur 6 obj -0.02731 0.00793 -0.04285 -0.01215
totfixdur 7 intercept 6.61725 0.04591 6.52704 6.70691
totfixdur 7 obj -0.01994 0.00771 -0.03501 -0.00462

Bayes factor (mean of 5 runs):

dv_name region mean bf_10 sd
tgdur 6 0.32753 0.01621
tgdur 7 2.91352 0.13425
totfixdur 6 1.23593 0.10049
totfixdur 7 0.10238 0.00279

mu -0.027, sigma = 0.009

measure region rowname Estimate Est.Error Q2.5 Q97.5
tgdur 6 intercept 5.61381 0.02642 5.56256 5.66591
tgdur 6 obj -0.02108 0.00772 -0.03653 -0.00588
tgdur 7 intercept 6.19452 0.04816 6.09990 6.28857
tgdur 7 obj -0.02642 0.00776 -0.04157 -0.01137
totfixdur 6 intercept 6.05766 0.03689 5.98519 6.12896
totfixdur 6 obj -0.02492 0.00786 -0.04038 -0.00929
totfixdur 7 intercept 6.61703 0.04567 6.52791 6.70641
totfixdur 7 obj -0.01793 0.00746 -0.03256 -0.00346

Bayes factor (mean of 5 runs):

dv_name region mean bf_10 sd
tgdur 6 0.42935 0.02010
tgdur 7 2.97787 0.06251
totfixdur 6 1.37794 0.02503
totfixdur 7 0.15413 0.00549

Subject match

mu = 0, sigma = 1

This is a bit silly, sigma this wide gives extreme support for the null. Summaries of the posterior distribution:

measure region rowname Estimate Est.Error Q2.5 Q97.5
tgdur 6 intercept 5.53869 0.02528 5.48890 5.58836
tgdur 6 obj -0.01006 0.01388 -0.03740 0.01615
tgdur 7 intercept 6.11502 0.04606 6.02243 6.20493
tgdur 7 obj 0.00955 0.01459 -0.01943 0.03753
totfixdur 6 intercept 5.87852 0.03453 5.81138 5.94671
totfixdur 6 obj -0.02275 0.01686 -0.05613 0.01071
totfixdur 7 intercept 6.50013 0.04500 6.41066 6.58800
totfixdur 7 obj 0.02010 0.01453 -0.00827 0.04950

Bayes factor (mean of 5 runs):

dv_name region mean bf_10 sd
tgdur 6 0.01779 0.00110
tgdur 7 0.01769 0.00016
totfixdur 6 0.04146 0.00146
totfixdur 7 0.03695 0.00074

mu = 0, sigma = 0.1

measure region rowname Estimate Est.Error Q2.5 Q97.5
tgdur 6 intercept 5.53859 0.02540 5.48847 5.58790
tgdur 6 obj -0.00955 0.01386 -0.03717 0.01746
tgdur 7 intercept 6.11537 0.04586 6.02638 6.20590
tgdur 7 obj 0.00926 0.01385 -0.01882 0.03613
totfixdur 6 intercept 5.87928 0.03484 5.81143 5.94764
totfixdur 6 obj -0.02191 0.01657 -0.05453 0.01072
totfixdur 7 intercept 6.50054 0.04376 6.41422 6.58600
totfixdur 7 obj 0.01954 0.01477 -0.00944 0.04800

Bayes factor (mean of 5 runs):

dv_name region mean bf_10 sd
tgdur 6 0.17821 0.00723
tgdur 7 0.17798 0.01288
totfixdur 6 0.40616 0.01209
totfixdur 7 0.38475 0.01357

mu = 0, sigma = 0.03

measure region rowname Estimate Est.Error Q2.5 Q97.5
tgdur 6 intercept 5.53968 0.02522 5.48965 5.58918
tgdur 6 obj -0.00803 0.01245 -0.03188 0.01672
tgdur 7 intercept 6.11438 0.04673 6.02178 6.20542
tgdur 7 obj 0.00781 0.01309 -0.01830 0.03312
totfixdur 6 intercept 5.87955 0.03495 5.81027 5.94788
totfixdur 6 obj -0.01702 0.01445 -0.04497 0.01172
totfixdur 7 intercept 6.49845 0.04441 6.41044 6.58255
totfixdur 7 obj 0.01628 0.01308 -0.00930 0.04170

Bayes factor (mean of 5 runs):

dv_name region mean bf_10 sd
tgdur 6 0.51713 0.03456
tgdur 7 0.51769 0.01522
totfixdur 6 0.99423 0.08355
totfixdur 7 0.94256 0.04663

mu = -0.03, sigma = 0.009

For explanation see subject mis-match. Note that for subject match the contrasts are opposite.

measure region rowname Estimate Est.Error Q2.5 Q97.5
tgdur 6 intercept 5.53551 0.02539 5.48617 5.58588
tgdur 6 obj -0.02402 0.00755 -0.03869 -0.00906
tgdur 7 intercept 6.11558 0.04739 6.02194 6.20571
tgdur 7 obj -0.01870 0.00758 -0.03354 -0.00406
totfixdur 6 intercept 5.87749 0.03424 5.80933 5.94428
totfixdur 6 obj -0.02839 0.00797 -0.04423 -0.01249
totfixdur 7 intercept 6.49701 0.04632 6.40788 6.58984
totfixdur 7 obj -0.01645 0.00763 -0.03135 -0.00151

Bayes factor (mean of 5 runs):

dv_name region mean bf_10 sd
tgdur 6 0.50344 0.02410
tgdur 7 0.06588 0.00187
totfixdur 6 2.11346 0.09911
totfixdur 7 0.03255 0.00076

mu -0.027, sigma = 0.009

measure region rowname Estimate Est.Error Q2.5 Q97.5
tgdur 6 intercept 5.53596 0.02533 5.48644 5.58626
tgdur 6 obj -0.02197 0.00758 -0.03702 -0.00704
tgdur 7 intercept 6.11598 0.04688 6.02524 6.20901
tgdur 7 obj -0.01664 0.00780 -0.03227 -0.00174
totfixdur 6 intercept 5.87828 0.03452 5.81004 5.94559
totfixdur 6 obj -0.02601 0.00797 -0.04132 -0.01065
totfixdur 7 intercept 6.49600 0.04385 6.41082 6.58320
totfixdur 7 obj -0.01424 0.00773 -0.02949 0.00092

Bayes factor (mean of 5 runs):

dv_name region mean bf_10 sd
tgdur 6 0.62570 0.02743
tgdur 7 0.09991 0.00399
totfixdur 6 2.22773 0.12564
totfixdur 7 0.05072 0.00179